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Learn to Create Generative AI Agents using LLMs with AutoGen
Updated on Sep, 2026
IT and Software , Other IT and Software, Python
Training 5 or more people ?
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Welcome to the Build Multi-Agent LLM Applications with AutoGen!
Are you excited about exploring the world of Generative AI? In this course, we'll learn how to create conversable and customizable AI agents powered by Large Language Models. This is a hands-on course with exercises in Python. We'll cover how to combine external tools like APIs and web scrapers with agents. We'll cover advanced techniques like Retrieval Augmented Generation, Prompt Engineering (ReAct) and Task Decomposition. We'll also implement different conversational patterns like group chats and nested chats.
This intermediate-level course is designed for data scientists, machine learning engineers and software engineers aiming to expand their skills into the LLM/Generative AI space.
Getting Started with AutoGen (Basic Concepts)
Large Language Model Agents
Agents with Human-in-the-Loop
Agents with Code Execution Capability
Agents with access to external tools like APIs and web scrapers
Agents in different Conversational Patterns (Sequential, Group, Nested Chats)
Agents with GPT-4 Turbto/DALL-E Image Generation Endpoints
Prompt Engineering Techniques (ReAct) with Agents
Retrieval Augmented Generation (RAG) using Chroma DB and LLM Agents
Task Decomposition (Build Automated LLM Agents)
Message Transformations for LLM Agents
Using Non-OpenAI/Open Source Models with LM Studio
Join me on this journey to explore the world of LLM Agents and Generative AI!
Check out the detailed breakdown of what’s inside the course
Shahzeb Naveed is a passionate and dedicated instructor known for making complex topics easy to understand. With a practical, hands-on teaching approach, he focuses on helping learners build real-world skills rather than just theoretical knowledge. His sessions are engaging, clear, and structured in a way that suits both beginners and intermediate learners. Shahzeb believes in simplifying concepts, encouraging curiosity, and guiding students step by step so they can confidently apply what they learn in real-life scenarios.
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